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Online Stochastic Matching: Online Actions Based on Offline Statistics

机译:在线随机匹配:基于离线统计信息的在线操作

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摘要

We consider the online stochastic matching problem proposed by Feldman et al. [Feldman J, Mehta A, Mirrokni VS, Muthukrishnan S (2009) Online stochastic matching: Beating 1 ? 1=e. Annual IEEE Sympos. Foundations Comput. Sci. 117-126] as a model of display ad allocation. We are given a bipartite graph; one side of the graph corresponds to a fixed set of bins, and the other side represents the set of possible ball types. At each time step, a ball is sampled independently from the given distribution and it needs to be matched upon its arrival to an empty bin. The goal is to maximize the number of allocations.
机译:我们考虑了Feldman等人提出的在线随机匹配问题。 [Feldman J,Mehta A,Mirrokni VS,Muthukrishnan S(2009)在线随机匹配:击败1? 1 = e。年度IEEE研讨会。基础计算。科学117-126]作为展示广告分配的模型。我们得到了二部图;图表的一侧对应于一组固定的箱,另一侧代表一组可能的球类型。在每个时间步上,都会从给定的分布中独立采样一个球,并且需要在到达空箱时对其进行匹配。目标是最大化分配数量。

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